Virtual Reality Training to Reduce Workplace Violence in Healthcare.
Supporting Files
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January 2025
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Available in CDC Stacks on January 28, 2025, 12:00 AM
File Language:
English
Details
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Alternative Title:Issues in Mental Health Nursing, 2025, v. 46, no. 1: Virtual Reality Training to Reduce Workplace Violence in Healthcare.
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Journal Article:Issues in Mental Health Nursing
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Personal Author:
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Description:Violence against nurses and other healthcare workers is a significant and escalating concern, impeding the provision of safe and effective healthcare services. A majority of nurses experience some kind of violence, including physical and nonphysical assaults during their careers. The consequences of workplace violence extend beyond individual trauma, leading to increased burnout, turnover, and significant financial costs for healthcare systems. Training programs focused on workplace violence prevention (WVP) have become ubiquitous, with elements like situational threat assessment, de-escalation techniques, and physical skills. Studies show that experiential components, such as role play, enhance the effectiveness of these trainings. Virtual Reality (VR) offers a promising solution by providing immersive, interactive training environments that enhance decision-making, physical coordination, and team dynamics. In this article we discuss how VR simulations can replicate real-world settings, allowing healthcare workers to practice and master violence prevention and management skills in a controlled, safe environment. We also describe how VR is scalable and cost-effective, enabling widespread adoption within and across organizations with minimal logistical challenges. Integrating VR into WVP training programs could significantly improve training outcomes, reduce the need for physical and chemical restraints, and ultimately enhance the overall safety and quality of healthcare services.
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Content Notes:Author manuscript
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Source:Issues in Mental Health Nursing, 2025, v. 46, no. 1
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DOI:
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ISSN:0161-2840 ; 1096-4673
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Pubmed ID:39761223
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Pubmed Central ID:PMC11774209
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Pages in Document:2-11 (18 pdf pages)
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Volume:46
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Issue:1
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Main Document Checksum:urn:sha-512:2a1a728de62a74900ce9994ed6bdd64f66a7891a9e496b073307854952330896ab7825be419436d9f67cab7260489335d657a5b4215e0824c538943f9a48623d
Supporting Files
File Language:
English
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